With a huge number of employees around the globe working remotely during the COVID-19 pandemic, delivering uninterrupted business services to customers has become a major challenge. This requires strict monitoring of all critical business applications in order to accommodate an increased amount of requests, which can cause a critical downtime if not monitored appropriately.

A DevOps initiative can fail for many reasons, but as AppDynamics' Marco Coulter explains, the right approach can ensure success.

While the recent pandemic has removed much of the traffic from the roads, it has led to an unusual increase in traffic on the internet. Online services are reporting a huge increase in the number of visitors and requests, making it tough to keep up with seamless service delivery. While service providers and experts say the internet can hold up for now, organizations are already implementing measures to prevent network congestion and interruptions in service during the continuing pandemic.

The COVID-19 crisis has put organizations in a position where 100% of employees need to work remotely from their homes. Popular technologies used for supporting remote employees include Citrix virtual application and desktops, virtual desktop technologies based on VMware Horizon, cloud-hosted desktops (DaaS), or just VPN connectivity. Until now, remote access from home was something a small percentage of employees used.

Software teams are under increasing pressure to ship code faster than ever before, but without the right workflow and tools in place, this can introduce unnecessary risk and headache. We wanted to share how to configure deployments, identify issues, and track performance gains using tools and process to get the best results and enable you to ship software with speed and confidence. The tools we will be using in today’s example include Jenkins, Octopus, and Raygun.

Here’s what happens when you obtain full-stack observability into your Cisco environment.

Today, Splunk announced a new milestone release of SignalFx Microservices APM, introducing groundbreaking innovations including: Full Fidelity tracing, AI-Driven Directed Troubleshooting, and open framework instrumentation. With the Splunk acquisition of SignalFx and Omnition now behind us, we’re excited to announce a new, revolutionary release of SignalFx Microservices APM.

Raygun’s Launch Notes are your regular round-up of all the improvements we made to Raygun last month — from significant features to performance updates.

One of the challenges introduced by microservices architectures is the ability to understand how the application performs and where most time is spent. The Elastic Stack and Elastic APM can provide observability for modern, microservice-based solutions as well as monolithic applications. Application Performance Monitoring (APM) combines different technologies to provide a deep, transparent and holistic view of what each service component is doing, where, when, and for how long.